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Facing Security Problems in Big Data and Hadoop

P. S. Vijayalakshmi, S. Lakshmidevi, T. Arunambika

Abstract


One of the biggest concerns in our present age revolves around the security and protection of sensitive information. In our current era of Big Data, our organizations are collecting, analyzing, and making decisions based on analysis of massive amounts of data sets from various sources, and security in this process is becoming increasingly more important. Big data that resides within a Hadoop environment can contain sensitive financial data in the form of credit card and bank account numbers. It may also contain proprietary corporate information and Personally Identifiable Information (PII) such as the names, addresses and social security numbers of clients, customers and employees.


Keywords


Big Data, Hadoop, Authentication, Security, Kerberos.

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References


V. Gudivada, D. Rao, and V. Raghavan, “Big Data–Driven Natural Language–Processing Research and Applications,” Big Data Analytics, V. Govindaraju, V. Raghavan, and C.R. Rao, eds., Elsevier, 2015 (in press).

V. Gudivada, D. Rao, and V. Raghavan, “Renaissance in Data Management Systems: SQL, NoSQL, and NewSQL,” Computer (in press).

R. Baeza-Yates. “Big Data or Right Data?” Proc. 7th Alberto Mendelzon Int’l Workshop on Foundations of Data Management (AMW 13), 2013, vol. 1087, paper 14; http://ceur-ws.org/Vol-1087/paper14.pdf.

Ponemon Institute, “2013 Cost of Data Breach Study: Global Analysis”, May 2013,

Business Insider, “Playstation Network Crisis May Cost Sony Billions”,

For more information see “CNN/Money – 5 Data Breaches – From Embarrassing to Deadly”, and Wikipedia’s page on the AOL search data leak on anonymized records

https://www.esecurityplanet.com/network-security/hadoop-security-still-evolving.html


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